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    <li class="breadcrumb-item active" aria-current="page">使用chatgpt <code class="docutils literal notranslate"><span class="pre">chatgpt()</span></code></li>
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  <section id="chatgpt-chatgpt">
<h1>使用chatgpt <code class="docutils literal notranslate"><span class="pre">chatgpt()</span></code><a class="headerlink" href="#chatgpt-chatgpt" title="此标题的永久链接">#</a></h1>
<div class="sphinx-tabs docutils container">
<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-0-0-0" aria-selected="true" class="sphinx-tabs-tab" id="tab-0-0-0" name="0-0" role="tab" tabindex="0">JavaScript</button></div><div aria-labelledby="tab-0-0-0" class="sphinx-tabs-panel" id="panel-0-0-0" name="0-0" role="tabpanel" tabindex="0"><dl class="js function">
<dt class="sig sig-object js" id="WindowsBot.chatgpt">
<span class="sig-prename descclassname"><span class="n"><span class="pre">WindowsBot</span></span><span class="p"><span class="pre">.</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">chatgpt</span></span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prompt</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxTokens</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temperature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#WindowsBot.chatgpt" title="永久链接至目标">#</a></dt>
<dd><p>chatGpt</p>
<dl class="field-list simple">
<dt class="field-odd">参数<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model,</strong> (<em>string</em>) – 指定使用的模型,”text-davinci-003”text-curie-001text-babbage-001text-ada-001和自定义微调模型</p></li>
<li><p><strong>prompt,</strong> (<em>string</em>) – 问题</p></li>
<li><p><strong>maxTokens,</strong> (<em>number</em>) – 最大令牌数，大约 3个字符1个令牌，1个汉字2个令牌</p></li>
<li><p><strong>temperature,</strong> (<em>number</em>) – 浮点型，温度，调节结果的创意程度，0一般为单一结果， 1创意度更高</p></li>
<li><p><strong>stop,</strong> (<em>string</em>) – 可选参数，停止结果输出标志，一般用在微调模型上，例如 stop = ‘[“END”]’</p></li>
</ul>
</dd>
<dt class="field-even">返回<span class="colon">:</span></dt>
<dd class="field-even"><p><strong>Promise.&lt;string&gt;</strong> – 失败返回null, 成功返回json对象 text 返回的答案内容 finish 为true回答结束，false 还有未输出的答案。我们可以继续 prompt + 输出的答案 获取后续内容，直到finish为true</p>
</dd>
</dl>
</dd></dl>

</div></div>
</section>
<section id="chatgpt-chatgptedit">
<h1>使用chatgpt编辑模式 <code class="docutils literal notranslate"><span class="pre">chatgptEdit()</span></code><a class="headerlink" href="#chatgpt-chatgptedit" title="此标题的永久链接">#</a></h1>
<div class="sphinx-tabs docutils container">
<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-1-1-0" aria-selected="true" class="sphinx-tabs-tab" id="tab-1-1-0" name="1-0" role="tab" tabindex="0">JavaScript</button></div><div aria-labelledby="tab-1-1-0" class="sphinx-tabs-panel" id="panel-1-1-0" name="1-0" role="tabpanel" tabindex="0"><dl class="js function">
<dt class="sig sig-object js" id="WindowsBot.chatgptEdit">
<span class="sig-prename descclassname"><span class="n"><span class="pre">WindowsBot</span></span><span class="p"><span class="pre">.</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">chatgptEdit</span></span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instruction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxTokens</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temperature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#WindowsBot.chatgptEdit" title="永久链接至目标">#</a></dt>
<dd><p>chatGpt编辑模式</p>
<dl class="field-list simple">
<dt class="field-odd">参数<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model,</strong> (<em>string</em>) – 指定使用的模型， “text-davinci-edit-001””code-davinci-edit-001”</p></li>
<li><p><strong>input,</strong> (<em>string</em>) – 输入要编辑的内容</p></li>
<li><p><strong>instruction,</strong> (<em>string</em>) – 提示如何去编辑</p></li>
<li><p><strong>maxTokens,</strong> (<em>number</em>) – 最大令牌数，大约 3个字符1个令牌，1个汉字2个令牌</p></li>
<li><p><strong>temperature,</strong> (<em>number</em>) – 浮点型，温度，调节结果的创意程度，0一般为单一结果， 1创意度更高</p></li>
</ul>
</dd>
<dt class="field-even">返回<span class="colon">:</span></dt>
<dd class="field-even"><p><strong>Promise.&lt;boolean&gt;</strong> – 失败返回null, 成功返回json对象 text 返回的答案内容 finish 为true回答结束，false 还有未输出的答案。我们可以继续 prompt + 输出的答案 获取后续内容，直到finish为true</p>
</dd>
</dl>
</dd></dl>

</div></div>
<div class="highlight-javascript notranslate"><div class="highlight"><pre><span></span><span class="c1">// 代码示例</span><span class="w"></span>
<span class="c1">// 初始化</span><span class="w"></span>
<span class="kd">let</span><span class="w"> </span><span class="nx">bRet</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">windowsBot</span><span class="p">.</span><span class="nx">initNLP</span><span class="p">(</span><span class="s2">&quot;xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx&quot;</span><span class="p">);</span><span class="w"></span>
<span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="o">!</span><span class="nx">bRet</span><span class="p">)</span><span class="w"></span>
<span class="w">    </span><span class="c1">// return;</span><span class="w"></span>

<span class="c1">// chatgpt</span><span class="w"></span>
<span class="kd">let</span><span class="w"> </span><span class="nx">result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">windowsBot</span><span class="p">.</span><span class="nx">chatgpt</span><span class="p">(</span><span class="s2">&quot;text-davinci-003&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;怎么称呼你？&quot;</span><span class="p">,</span><span class="w"> </span><span class="mf">256</span><span class="p">,</span><span class="w"> </span><span class="mf">0.7</span><span class="p">);</span><span class="w"></span>
<span class="nx">console</span><span class="p">.</span><span class="nx">log</span><span class="p">(</span><span class="nx">result</span><span class="p">[</span><span class="s2">&quot;text&quot;</span><span class="p">]);</span><span class="w"></span>

<span class="c1">// chatgpt 循环获取答案</span><span class="w"></span>
<span class="kd">let</span><span class="w"> </span><span class="nx">prompt</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">&quot;请介绍下Aibote的应用场景，不少于500字&quot;</span><span class="p">;</span><span class="w"></span>
<span class="kd">let</span><span class="w"> </span><span class="nx">isFinish</span><span class="p">;</span><span class="w"></span>
<span class="k">do</span><span class="w"> </span><span class="p">{</span><span class="w"></span>
<span class="w">    </span><span class="kd">let</span><span class="w"> </span><span class="nx">result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">windowsBot</span><span class="p">.</span><span class="nx">chatgpt</span><span class="p">(</span><span class="s2">&quot;text-davinci-003&quot;</span><span class="p">,</span><span class="w"> </span><span class="nx">prompt</span><span class="p">,</span><span class="w"> </span><span class="mf">256</span><span class="p">,</span><span class="w"> </span><span class="mf">0.7</span><span class="p">);</span><span class="w"></span>
<span class="w">    </span><span class="nx">isFinish</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">result</span><span class="p">[</span><span class="s2">&quot;finish&quot;</span><span class="p">];</span><span class="w"></span>
<span class="w">    </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="o">!</span><span class="nx">isFinish</span><span class="p">)</span><span class="w"></span>
<span class="w">        </span><span class="nx">prompt</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="nx">result</span><span class="p">[</span><span class="s2">&quot;text&quot;</span><span class="p">];</span><span class="w"></span>

<span class="w">    </span><span class="nx">console</span><span class="p">.</span><span class="nx">log</span><span class="p">(</span><span class="nx">result</span><span class="p">[</span><span class="s2">&quot;text&quot;</span><span class="p">]);</span><span class="w"></span>
<span class="p">}</span><span class="w"> </span><span class="k">while</span><span class="w"> </span><span class="p">(</span><span class="o">!</span><span class="nx">isFinish</span><span class="p">)</span><span class="w"></span>

<span class="c1">// chatgptEdit</span><span class="w"></span>
<span class="kd">let</span><span class="w"> </span><span class="nx">result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">windowsBot</span><span class="p">.</span><span class="nx">chatgptEdit</span><span class="p">(</span><span class="s2">&quot;text-davinci-edit-001&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;你好码？&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;修正错误文字&quot;</span><span class="p">,</span><span class="w"> </span><span class="mf">256</span><span class="p">,</span><span class="w"> </span><span class="mf">0</span><span class="p">);</span><span class="w"></span>
<span class="nx">console</span><span class="p">.</span><span class="nx">log</span><span class="p">(</span><span class="nx">result</span><span class="p">[</span><span class="s2">&quot;text&quot;</span><span class="p">]);</span><span class="w"></span>
</pre></div>
</div>
</section>


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